Overview

Dataset statistics

Number of variables23
Number of observations4061
Missing cells5243
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory729.8 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 1 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1871 (46.1%) missing valuesMissing
DM_Duration has 1871 (46.1%) missing valuesMissing
HbA1C_Admission_Value has 1501 (37.0%) missing valuesMissing
Year_DM_Diagnosed is highly skewed (γ1 = -26.51372278)Skewed
DM_Duration is highly skewed (γ1 = 26.52116445)Skewed
Gender has 1364 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.0%) zerosZeros
Cardiac_Arrest_Admission has 3974 (97.9%) zerosZeros
Non_Cardiac_Condition has 3943 (97.1%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1872 (46.1%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-20 16:47:34.611322
Analysis finished2023-03-20 16:50:21.110280
Duration2 minutes and 46.5 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66412214
Minimum0
Maximum1
Zeros1364
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:21.213216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4723546
Coefficient of variation (CV)0.71124658
Kurtosis-1.5173706
Mean0.66412214
Median Absolute Deviation (MAD)0
Skewness-0.69525313
Sum2697
Variance0.22311887
MonotonicityNot monotonic
2023-03-20T16:50:21.457707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%
ValueCountFrequency (%)
0 1364
33.6%
1 2697
66.4%
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.351884
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:21.923645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.727595
Coefficient of variation (CV)0.21088977
Kurtosis-0.12256521
Mean60.351884
Median Absolute Deviation (MAD)9
Skewness0.0038224183
Sum245089
Variance161.99166
MonotonicityNot monotonic
2023-03-20T16:50:22.299361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 149
 
3.7%
72 138
 
3.4%
60 132
 
3.3%
57 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2816
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9202167
Minimum0
Maximum6
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:22.611566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4284366
Coefficient of variation (CV)0.74389343
Kurtosis-0.55103223
Mean1.9202167
Median Absolute Deviation (MAD)1
Skewness0.32913589
Sum7798
Variance2.0404311
MonotonicityNot monotonic
2023-03-20T16:50:22.794489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 249
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
6 4
 
0.1%
ValueCountFrequency (%)
0 969
23.9%
1 249
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 249
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31667077
Minimum0
Maximum3
Zeros2923
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:23.026947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53974118
Coefficient of variation (CV)1.7044237
Kurtosis1.5830841
Mean0.31667077
Median Absolute Deviation (MAD)0
Skewness1.51927
Sum1286
Variance0.29132054
MonotonicityNot monotonic
2023-03-20T16:50:23.286554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 140
 
3.4%
1 994
 
24.5%
0 2923
72.0%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025855701
Minimum0
Maximum3
Zeros3974
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:23.507040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18981787
Coefficient of variation (CV)7.3414323
Kurtosis97.814758
Mean0.025855701
Median Absolute Deviation (MAD)0
Skewness8.9927267
Sum105
Variance0.036030825
MonotonicityNot monotonic
2023-03-20T16:50:23.699457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 10
 
0.2%
1 73
 
1.8%
0 3974
97.9%

Non_Cardiac_Condition
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030041862
Minimum0
Maximum2
Zeros3943
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:23.963960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17640002
Coefficient of variation (CV)5.8718074
Kurtosis38.051304
Mean0.030041862
Median Absolute Deviation (MAD)0
Skewness6.0384687
Sum122
Variance0.031116969
MonotonicityNot monotonic
2023-03-20T16:50:24.241592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
2 4
 
0.1%
1 114
 
2.8%
0 3943
97.1%

Hypertension
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64860872
Minimum0
Maximum2
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:24.477203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.48003608
Coefficient of variation (CV)0.74010119
Kurtosis-1.561588
Mean0.64860872
Median Absolute Deviation (MAD)0
Skewness-0.58935592
Sum2634
Variance0.23043464
MonotonicityNot monotonic
2023-03-20T16:50:24.695249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2624
64.6%
0 1432
35.3%
2 5
 
0.1%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.6%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2624
64.6%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56636296
Minimum0
Maximum2
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:24.942694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49811595
Coefficient of variation (CV)0.87949952
Kurtosis-1.8650935
Mean0.56636296
Median Absolute Deviation (MAD)0
Skewness-0.23800234
Sum2300
Variance0.2481195
MonotonicityNot monotonic
2023-03-20T16:50:25.106546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2290
56.4%
0 1766
43.5%
2 5
 
0.1%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.4%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2290
56.4%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071411
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:25.294747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99695235
Coefficient of variation (CV)0.93050414
Kurtosis-1.9792108
Mean1.071411
Median Absolute Deviation (MAD)0
Skewness-0.14324036
Sum4351
Variance0.99391399
MonotonicityNot monotonic
2023-03-20T16:50:25.452898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2173
53.5%
0 1883
46.4%
1 5
 
0.1%
ValueCountFrequency (%)
0 1883
46.4%
1 5
 
0.1%
2 2173
53.5%
ValueCountFrequency (%)
2 2173
53.5%
1 5
 
0.1%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct48
Distinct (%)2.2%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1997.6347
Minimum9
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:25.662512image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1984
Q11996
median2002
Q32007
95-th percentile2011
Maximum2022
Range2013
Interquartile range (IQR)11

Descriptive statistics

Standard deviation73.9518
Coefficient of variation (CV)0.037019681
Kurtosis709.86491
Mean1997.6347
Median Absolute Deviation (MAD)5
Skewness-26.513723
Sum4374820
Variance5468.8688
MonotonicityNot monotonic
2023-03-20T16:50:25.869220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2002 284
 
7.0%
2007 169
 
4.2%
1992 151
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 99
 
2.4%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (38) 840
20.7%
(Missing) 1871
46.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
< 0.1%
1973 3
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct46
Distinct (%)2.1%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean14.622374
Minimum-10
Maximum2004
Zeros30
Zeros (%)0.7%
Negative1
Negative (%)< 0.1%
Memory size31.9 KiB
2023-03-20T16:50:26.097349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile1
Q16
median10
Q316
95-th percentile28
Maximum2004
Range2014
Interquartile range (IQR)10

Descriptive statistics

Standard deviation73.960247
Coefficient of variation (CV)5.058019
Kurtosis710.13298
Mean14.622374
Median Absolute Deviation (MAD)5
Skewness26.521164
Sum32023
Variance5470.1182
MonotonicityNot monotonic
2023-03-20T16:50:26.424744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 340
 
8.4%
20 199
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (36) 738
 
18.2%
(Missing) 1871
46.1%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
ValueCountFrequency (%)
2004 1
 
< 0.1%
2003 1
 
< 0.1%
1992 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0716572
Minimum0
Maximum2
Zeros1872
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:26.623339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99433714
Coefficient of variation (CV)0.92784998
Kurtosis-1.9737973
Mean1.0716572
Median Absolute Deviation (MAD)0
Skewness-0.14373466
Sum4352
Variance0.98870634
MonotonicityNot monotonic
2023-03-20T16:50:26.805840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1872
46.1%
1 26
 
0.6%
ValueCountFrequency (%)
0 1872
46.1%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1872
46.1%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3462201
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:27.014491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0130862
Coefficient of variation (CV)0.31721026
Kurtosis1.6568194
Mean6.3462201
Median Absolute Deviation (MAD)1
Skewness-1.4716572
Sum25772
Variance4.0525159
MonotonicityNot monotonic
2023-03-20T16:50:27.175410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1873
46.1%
8 896
22.1%
5 489
 
12.0%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.0%
6 34
 
0.8%
7 1873
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1873
46.1%
6 34
 
0.8%
5 489
 
12.0%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93351391
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:27.318018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68085153
Coefficient of variation (CV)0.72934267
Kurtosis1.0203607
Mean0.93351391
Median Absolute Deviation (MAD)0
Skewness0.59385122
Sum3791
Variance0.46355881
MonotonicityNot monotonic
2023-03-20T16:50:27.465128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
4 6
 
0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct383
Distinct (%)15.0%
Missing1501
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean7.5857148
Minimum3.2
Maximum88.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:27.679279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile4.9
Q15.9
median7
Q38.935
95-th percentile11.9145
Maximum88.4
Range85.2
Interquartile range (IQR)3.035

Descriptive statistics

Standard deviation2.788494
Coefficient of variation (CV)0.36759805
Kurtosis275.03779
Mean7.5857148
Median Absolute Deviation (MAD)1.365
Skewness10.049965
Sum19419.43
Variance7.7756985
MonotonicityNot monotonic
2023-03-20T16:50:27.951677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.5%
5.9 71
 
1.7%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (373) 1909
47.0%
(Missing) 1501
37.0%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
4.16 2
 
< 0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8542231
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:28.123425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35777779
Coefficient of variation (CV)0.41883413
Kurtosis2.0043612
Mean0.8542231
Median Absolute Deviation (MAD)0
Skewness-1.8947918
Sum3469
Variance0.12800494
MonotonicityNot monotonic
2023-03-20T16:50:28.278583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.1%
0 599
 
14.8%
2 7
 
0.2%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.1%
2 7
 
0.2%
ValueCountFrequency (%)
2 7
 
0.2%
1 3455
85.1%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct144
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.295228
Minimum8
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:28.493189image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range214
Interquartile range (IQR)25

Descriptive statistics

Standard deviation20.863488
Coefficient of variation (CV)0.24460323
Kurtosis3.1598709
Mean85.295228
Median Absolute Deviation (MAD)12
Skewness1.1124344
Sum346383.92
Variance435.28513
MonotonicityNot monotonic
2023-03-20T16:50:28.767049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 298
 
7.3%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.3%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (134) 2533
62.4%
ValueCountFrequency (%)
8 1
 
< 0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
42 4
 
0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct203
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.537247
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:29.014834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.304643
Coefficient of variation (CV)0.17741574
Kurtosis2.3776183
Mean97.537247
Median Absolute Deviation (MAD)10
Skewness-0.34519747
Sum396098.76
Variance299.45067
MonotonicityNot monotonic
2023-03-20T16:50:29.358645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
95 123
 
3.0%
88 123
 
3.0%
102 111
 
2.7%
Other values (193) 2595
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1741
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4407605
Minimum0.33
Maximum17.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:29.633086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.3
Q15.8
median7.07
Q38.4
95-th percentile12.8
Maximum17.8
Range17.47
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation2.6242941
Coefficient of variation (CV)0.35269166
Kurtosis2.1197811
Mean7.4407605
Median Absolute Deviation (MAD)1.29
Skewness0.99404339
Sum30216.928
Variance6.8869198
MonotonicityNot monotonic
2023-03-20T16:50:29.866757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5 68
 
1.7%
5.6 68
 
1.7%
4.8 55
 
1.4%
5.4 53
 
1.3%
6.2 53
 
1.3%
5.8 53
 
1.3%
5.5 52
 
1.3%
5.7 49
 
1.2%
Other values (1731) 3455
85.1%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1.0024 1
< 0.1%
ValueCountFrequency (%)
17.8 1
 
< 0.1%
17.7 2
 
< 0.1%
17.62 1
 
< 0.1%
17.6 1
 
< 0.1%
17.4 2
 
< 0.1%
17.3 3
 
0.1%
17.2 3
 
0.1%
17.17 1
 
< 0.1%
17.07 1
 
< 0.1%
17 8
0.2%
Distinct882
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7492023
Minimum0.07
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:30.204745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.9
median4.7
Q35.5
95-th percentile6.9
Maximum15.7
Range15.63
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.3040187
Coefficient of variation (CV)0.27457637
Kurtosis3.4314499
Mean4.7492023
Median Absolute Deviation (MAD)0.8
Skewness0.7783173
Sum19286.511
Variance1.7004648
MonotonicityNot monotonic
2023-03-20T16:50:30.467972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.6 73
 
1.8%
4.2 73
 
1.8%
5.6 70
 
1.7%
4.9 67
 
1.6%
4.1 67
 
1.6%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (872) 3344
82.3%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
15.7 1
< 0.1%
13.74 1
< 0.1%
12.64554 1
< 0.1%
11.8 2
< 0.1%
11.36 1
< 0.1%
11.29 1
< 0.1%
10.97 1
< 0.1%
10.12 1
< 0.1%
10 1
< 0.1%
9.91 1
< 0.1%
Distinct796
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6590033
Minimum0.01
Maximum17.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:30.717528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.43
Q32
95-th percentile3.5
Maximum17.6
Range17.59
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1105014
Coefficient of variation (CV)0.66937866
Kurtosis34.420447
Mean1.6590033
Median Absolute Deviation (MAD)0.47
Skewness4.0254456
Sum6737.2123
Variance1.2332133
MonotonicityNot monotonic
2023-03-20T16:50:30.908826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.1 107
 
2.6%
1.2 107
 
2.6%
1.3 102
 
2.5%
0.8 99
 
2.4%
0.9 98
 
2.4%
1.5 97
 
2.4%
1.4 91
 
2.2%
1.6 91
 
2.2%
1.8 80
 
2.0%
Other values (786) 3081
75.9%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
17.6 1
< 0.1%
17.4 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%
9 1
< 0.1%
8.88 1
< 0.1%

BMI
Real number (ℝ)

Distinct1241
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.994275
Minimum13.34
Maximum342.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:31.176508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.96
median27.76
Q331.53
95-th percentile39.51
Maximum342.78
Range329.44
Interquartile range (IQR)6.57

Descriptive statistics

Standard deviation8.846146
Coefficient of variation (CV)0.30509975
Kurtosis514.83582
Mean28.994275
Median Absolute Deviation (MAD)3.23
Skewness17.032747
Sum117745.75
Variance78.254299
MonotonicityNot monotonic
2023-03-20T16:50:31.418288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
31.25 27
 
0.7%
27.34 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1231) 3761
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
342.78 1
< 0.1%
233.4 1
< 0.1%
221.14 1
< 0.1%
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3492
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.48514
Minimum5.21
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-20T16:50:31.667731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum5.21
5-th percentile25.78
Q157.6
median83.2
Q3110.7
95-th percentile167.18
Maximum1164.7
Range1159.49
Interquartile range (IQR)53.1

Descriptive statistics

Standard deviation52.784003
Coefficient of variation (CV)0.59652957
Kurtosis102.9334
Mean88.48514
Median Absolute Deviation (MAD)26.54
Skewness6.1769567
Sum359338.15
Variance2786.151
MonotonicityNot monotonic
2023-03-20T16:50:31.935416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.8348 7
 
0.2%
83.2 6
 
0.1%
86.1 6
 
0.1%
97.17 4
 
0.1%
76.26 4
 
0.1%
79.9 4
 
0.1%
67.65 4
 
0.1%
76.16 4
 
0.1%
110.7 4
 
0.1%
52.54 3
 
0.1%
Other values (3482) 4015
98.9%
ValueCountFrequency (%)
5.21 1
< 0.1%
5.24 1
< 0.1%
5.57 1
< 0.1%
5.7 1
< 0.1%
5.98 1
< 0.1%
6.18 1
< 0.1%
6.23 1
< 0.1%
6.29 1
< 0.1%
6.33 1
< 0.1%
6.39 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-20T16:50:13.280590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:35.389384image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:40.566593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:45.644082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:50.792763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:56.109299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:01.498033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:07.303737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:12.135729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:17.490395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:24.021640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:29.838437image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:40.352125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:50.338578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:03.242156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:13.191336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:19.642217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:27.153108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:35.005001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:42.781889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:50.413033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:58.065580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:06.756482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:13.458655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:35.554994image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:40.755378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:45.846943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:50.976985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:56.322598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-20T16:49:18.070739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:24.881578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:33.266752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:41.217182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:48.402115image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:56.040342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:05.079306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:12.206528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:18.439997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:39.690486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:44.760290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:49.930243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:55.187484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:00.565530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:06.341813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:11.344997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:16.354450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:23.054439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:28.854682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:38.024796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:48.792813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:01.370432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:11.717949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:18.304138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:25.300825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:33.773960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:41.629481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:48.984700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:56.451630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:05.362001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:12.448494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:18.713362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:39.930385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:45.009915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:50.134871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:55.403746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:00.789140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:06.582908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:11.528835image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:16.667879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:23.287137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:29.144134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:38.607626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:49.255444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:02.049959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:12.169678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:18.554364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:25.918093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:34.148535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:41.909562image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:49.399963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:56.799183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:05.695898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:12.677755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:18.942342image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:40.143402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:45.211446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:50.368377image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:55.633541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:01.016855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:06.820311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:11.721317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:16.911887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:23.534064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:29.394484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:39.208875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:49.556030image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:02.598950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:12.542612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:18.899670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:26.291420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:34.435750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:42.170586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:49.728745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:57.224875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:06.051203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:12.880592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:19.165847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:40.353094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:45.413733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:50.573464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:47:55.890254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:01.263895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:07.061450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:11.930899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:17.194154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:23.774922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:29.609080image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:39.826465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:48:49.976691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:02.896386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:12.920730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:19.213125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:26.653582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:34.703090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:42.536374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:50.049686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:49:57.565862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:06.448488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-20T16:50:13.086191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-20T16:50:32.167037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3780.012-0.010-0.208-0.122-0.1630.090-0.091-0.1600.047-0.146-0.1270.066-0.130-0.034-0.084-0.001-0.003-0.1710.105
Age-0.1581.000-0.034-0.540-0.0060.0900.2560.1170.123-0.2970.3000.1340.0010.2580.029-0.0810.039-0.1010.027-0.172-0.221-0.153-0.633
Education-0.007-0.0341.0000.053-0.0060.018-0.006-0.036-0.0060.006-0.007-0.006-0.027-0.018-0.0130.0080.0080.003-0.0260.022-0.0150.0310.032
Work0.378-0.5400.0531.0000.010-0.055-0.235-0.114-0.1670.208-0.208-0.1740.026-0.178-0.1040.062-0.0600.022-0.0880.1210.1350.0540.403
Cardiac_Arrest_Admission0.012-0.006-0.0060.0101.0000.1180.008-0.017-0.002-0.0090.007-0.0110.025-0.020-0.006-0.0180.075-0.0290.0190.0110.008-0.009-0.037
Non_Cardiac_Condition-0.0100.0900.018-0.0550.1181.0000.0680.0250.040-0.0530.0550.035-0.0020.040-0.004-0.0170.117-0.0240.015-0.045-0.017-0.022-0.162
Hypertension-0.2080.256-0.006-0.2350.0080.0681.0000.3980.333-0.1120.1120.325-0.0380.1500.198-0.0010.0990.0860.135-0.1300.0060.107-0.229
Dyslipidemia-0.1220.117-0.036-0.114-0.0170.0250.3981.0000.326-0.0620.0670.320-0.0660.1140.2230.0220.0230.0820.125-0.0710.0790.096-0.096
DM-0.1630.123-0.006-0.167-0.0020.0400.3330.3261.000-0.0200.0240.988-0.0260.1020.670-0.0230.1160.1110.409-0.1180.1010.135-0.101
Year_DM_Diagnosed0.090-0.2970.0060.208-0.009-0.053-0.112-0.062-0.0201.000-0.9950.070-0.053-0.072-0.0920.097-0.066-0.0420.0070.1720.075-0.1140.216
DM_Duration-0.0910.300-0.007-0.2080.0070.0550.1120.0670.024-0.9951.000-0.0680.0440.0750.084-0.0970.0620.044-0.006-0.174-0.0760.108-0.220
DM_Type-0.1600.134-0.006-0.174-0.0110.0350.3250.3200.9880.070-0.0681.000-0.0220.1000.666-0.0250.1100.1100.407-0.1210.0960.133-0.108
DM_Treatment0.0470.001-0.0270.0260.025-0.002-0.038-0.066-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.105-0.020-0.011-0.004-0.0280.009
Smoking_History-0.1460.258-0.018-0.178-0.0200.0400.1500.1140.102-0.0720.0750.100-0.0251.0000.0780.0020.025-0.0330.036-0.081-0.086-0.001-0.197
HbA1C_Admission_Value-0.1270.029-0.013-0.104-0.006-0.0040.1980.2230.670-0.0920.0840.666-0.0810.0781.000-0.0020.1150.1040.489-0.0030.1830.1410.007
Lipid_24_Collected0.066-0.0810.0080.062-0.018-0.017-0.0010.022-0.0230.097-0.097-0.025-0.0130.002-0.0021.000-0.0410.035-0.005-0.003-0.052-0.0180.055
Heart_Rate-0.1300.0390.008-0.0600.0750.1170.0990.0230.116-0.0660.0620.110-0.0030.0250.115-0.0411.000-0.0110.1100.017-0.0050.048-0.062
Waist-0.034-0.1010.0030.022-0.029-0.0240.0860.0820.111-0.0420.0440.110-0.105-0.0330.1040.035-0.0111.0000.108-0.0110.1280.5110.259
Fasting_Blood_Glucose_Value_SI_Units-0.0840.027-0.026-0.0880.0190.0150.1350.1250.4090.007-0.0060.407-0.0200.0360.489-0.0050.1100.1081.0000.0030.1590.1390.010
Cholesterol_Value_SI_Units-0.001-0.1720.0220.1210.011-0.045-0.130-0.071-0.1180.172-0.174-0.121-0.011-0.081-0.003-0.0030.017-0.0110.0031.0000.3970.0340.146
Triglycerides_Value_SI_Units-0.003-0.221-0.0150.1350.008-0.0170.0060.0790.1010.075-0.0760.096-0.004-0.0860.183-0.052-0.0050.1280.1590.3971.0000.1640.163
BMI-0.171-0.1530.0310.054-0.009-0.0220.1070.0960.135-0.1140.1080.133-0.028-0.0010.141-0.0180.0480.5110.1390.0340.1641.0000.382
Creatinine_Clearance0.105-0.6330.0320.403-0.037-0.162-0.229-0.096-0.1010.216-0.220-0.1080.009-0.1970.0070.055-0.0620.2590.0100.1460.1630.3821.000

Missing values

2023-03-20T16:50:19.583680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-20T16:50:20.295849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-20T16:50:20.735782image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
01621100221NaNNaN074NaN294.1293.277.2614525.2238551.745628.343287.8348
115211001122003.010.0234NaN294.1293.277.2614525.2238551.745628.343287.8348
20730000110NaNNaN070NaN175.0060.007.0000005.3800001.850020.000024.1200
31466332221NaNNaN074NaN294.1293.277.2614525.2238551.745628.343287.8348
40466332221NaNNaN074NaN294.1293.277.2614525.2238551.745628.343287.8348
506440001122002.010.0251NaN1117.0085.0011.9300005.4000002.240033.290063.6000
605600000121988.024.02917.1082.0085.004.4000004.7000001.300031.2200114.2400
70780000100NaNNaN0715.6090.0090.006.2000004.1100001.110019.560027.5500
81542000100NaNNaN0715.6175.0091.004.0000005.2000002.200023.050092.3700
90542000000NaNNaN071NaN090.0093.008.1495565.2333001.556823.810073.4200
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
405117400001121987.025.02118.3188.095.2710.8000005.14001.100028.4156.50
40521764100100NaNNaN070NaN0140.070.006.6014605.08881.710825.7134.66
405316152011121993.020.02817.4187.090.004.2000005.10002.500029.7650.65
405405620001022004.08.02318.1062.0115.007.2000007.44002.320033.12109.82
405514101001122006.07.0282NaN1106.079.007.9500725.90001.900027.9788.77
405617520001122001.011.02518.8198.092.007.5000004.67002.220023.5145.28
405715600200121996.015.028011.61120.093.007.9000006.66001.530029.3983.77
405815540000022006.07.028011.61109.072.009.2000003.95000.800022.8489.61
40591772000100NaNNaN071NaN1100.085.005.7387526.71000.650022.0431.00
406017320001121987.025.0290NaN1100.0117.008.7758164.10001.770029.0167.36